Evidence map›Paper›PMID 30536617›Full record

ReviewMolecular oncology2019

Functional microRNA binding site variants.

Ye Yuan, Joanne B Weidhaas

Open access · goldAbstract readReview
In one paragraph

Review in Molecular oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
1.3field-weighted citation impact, top 23% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 32 citations in OpenAlex.

  1. Review
  2. Article
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  15. Review
  16. Article
  17. Article
  18. Molecular networks in Network Medicine: Development and applications.Wiley interdisciplinary reviews. Systems biology and medicine · 2020
    Review
  19. Article
  20. A Functional 3' UTR Polymorphism ofAnimals : an open access journal from MDPI · 2019
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Ye YuanDepartment of Radiation Oncology, UCLA, Los Angeles, CA, USA.
Joanne B WeidhaasDepartment of Radiation Oncology, UCLA, Los Angeles, CA, USA.ORCID 0000-0002-5096-3281
UCLA Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Germline single nucleotide polymorphisms are one of the most common genetic variations. Polymorphisms that cause nonsynonymous mutations in gene coding regions are known to cause serious deleterious downstream effects. However, even polymorphisms in noncoding regions can have profound functional consequences by disrupting essential regulatory sites. Specifically, polymorphisms that alter microRNA binding sites can disrupt the regulation of hallmark biological pathways implicated in tumorigenesis and tumor progression. Many of these microRNA-associated polymorphisms (miR-SNPs) have recently been shown to be important biomarkers of cancer risk, prognosis, and treatment outcomes. This review will summarize the functional impact of key miR-SNPs and define a subset of miR-SNPs that may be clinically useful prognostic or predictive biomarkers.

Indexed as

Polymorphism, Single NucleotideBinding SitesBiomarkers, TumorGene Regulatory NetworksGenetic Predisposition to DiseaseGerm CellsMicroRNAsNeoplasmsPrognosisBiomarkers, TumorMicroRNAsbiomarkersfunctional variantsKRAS-variantmicroRNA binding sitesmicroRNAspolymorphisms

Identifiers

PMID30536617
PMCPMC6322190
OpenAlexW2904633978

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.